When you build and operate in high-stakes, chaotic environments, you have to plan for failure. The Stoics had a name for thinking ahead about this: premeditatio malorum—the deliberate contemplation of ...

We may earn revenue from products featured on this page through affiliate links. Most people think they’re prepared because they’ve imagined the moment everything goes wrong. They picture a power ...

In late-stage testing of a distributed AI platform, engineers sometimes encounter a perplexing situation: every monitoring dashboard reads “healthy,” yet users report that the system’s decisions are ...

Photo courtesy of kjpargeter on Magnific. Opinions expressed by Digital Journal contributors are their own. Every few months, another high-profile AI platform announces an outage, a degraded response ...

A new study from Google researchers introduces "sufficient context," a novel perspective for understanding and improving retrieval augmented generation (RAG) systems in large language models (LLMs).

Most organizations spend a great deal of time thinking about database performance. DBAs tune SQL, design indexes, and monitor workloads to ensure that applications run quickly and efficiently.